aipythonsqlstatisticsdbtdata modelinga b testingecommerceproduct analytics
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Средняя
$146к-169к/год
$130к$160кмедиана$200к
По похожим ролям (44) ~ $160к/год
На СНГ рынке: $3к/мес ($3к - $3.7к)
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У роли четкий уровень ответственности: влияние на продуктовые решения, аналитика и моделирование данных, а также конкретные льготы и поддержка развития.
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Широкая зона задачАктуальные технологииВлияние на продуктПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Analyst (Ecommerce): Analyzing customer and merchant behavior, product funnels, adoption, retention, conversion, and monetization to inform product strategy and build scalable analytical foundations with an accent on experimentation, KPI frameworks, and analytics engineering. Focus on designing A/B tests, modeling data with SQL and dbt, applying statistical methods, and using AI tools with rigorous validation.
Location: Lehi, Utah, United States; Remote within the United States
Salary: $146,000–$169,000 national base salary; location-specific ranges include $144,000–$168,000 for Los Angeles/Orange County, $180,000–$210,000 for the San Francisco Bay Area, and $177,000–$206,000 for New York City.
Company
hirify.global builds a post-purchase ecommerce ecosystem for shoppers, merchants, tracking, package protection, returns, and customer growth.
What you will do
Partner with Product Managers to identify opportunities, evaluate tradeoffs, and influence product strategy and roadmap decisions.
Translate ambiguous product and business questions into hypotheses, analytical approaches, and actionable recommendations.
Analyze customer and merchant behavior, funnels, adoption, retention, conversion, and monetization to identify optimization and growth opportunities.
Design and evaluate A/B tests, including hypotheses, metrics, sample sizing, guardrails, and statistical interpretation.
Define product KPIs and measurement frameworks, build dashboards and reporting, and perform deep-dive analyses to identify root causes and next steps.
Build scalable SQL and dbt data models; partner with Engineering, Data Engineering, Finance, Revenue Operations, and other teams on instrumentation, data availability, and business outcomes.
Requirements
5+ years of experience in product analytics, business or operations analytics, or data analytics supporting a product or growth organization.
Strong product and business judgment, including the ability to explain why results occurred, what they mean, and what should happen next.
Advanced SQL skills and experience working independently with large, complex datasets.
Strong experience with dbt, data modeling, metric design, and modern analytics engineering practices.
Strong foundation in statistics and experimentation, including A/B testing, hypothesis testing, confidence intervals, sample sizing, and common experimental bias.
Experience defining KPIs and measurement frameworks for products, features, or business initiatives.
Experience using AI tools in analytical or analytics engineering workflows, with sound judgment when validating and interpreting AI-generated outputs.
Proficiency with Python and experience building dashboards and reporting in modern BI or product analytics platforms.
Ability to structure and solve ambiguous problems, communicate complex findings clearly, and influence cross-functional teams.
Nice to have
Experience in ecommerce, marketplaces, payments, or another high-volume digital product environment.
Culture & Benefits
Remote or hybrid work arrangements.
Health insurance premiums covered at 95%–100% for employees and families.
Unlimited PTO and 401(k) matching.
Formalized growth opportunities, learning and development programs, and DEI programs and events.
Eligible employees may participate in an equity incentive plan; some roles may also qualify for overtime pay or annual bonuses.
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